MARTINI_enrich_BERTopic_The_Zionist_Effect
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_The_Zionist_Effect")
topic_model.get_topic_info()
Topic overview
- Number of topics: 13
- Number of training documents: 1071
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | zionist - hitler - menorah - telegram - president | 21 | -1_zionist_hitler_menorah_telegram |
| 0 | hamas - israelis - genocide - killed - rachel | 549 | 0_hamas_israelis_genocide_killed |
| 1 | vaxed - unvaccinated - pandemic - polio - fda | 97 | 1_vaxed_unvaccinated_pandemic_polio |
| 2 | lmaooo - shit - ban - youtube - subscribers | 76 | 2_lmaooo_shit_ban_youtube |
| 3 | holocaust - treblinka - nuremberg - zundel - revisionists | 66 | 3_holocaust_treblinka_nuremberg_zundel |
| 4 | blacks - racism - looters - whitey - conservatives | 46 | 4_blacks_racism_looters_whitey |
| 5 | hitler - nsdap - weimar - 1933 - persecuted | 41 | 5_hitler_nsdap_weimar_1933 |
| 6 | jews - semitism - aipac - conspiratorial - wwiii | 40 | 6_jews_semitism_aipac_conspiratorial |
| 7 | lgbt - tranny - pedophiles - storytime - sexually | 33 | 7_lgbt_tranny_pedophiles_storytime |
| 8 | zelensky - crimea - russians - jewry - solzhenitsyn | 28 | 8_zelensky_crimea_russians_jewry |
| 9 | assassination - terrorists - wounded - sydney - shokhinjonn | 26 | 9_assassination_terrorists_wounded_sydney |
| 10 | antisemitism - aipac - ashkenazi - greenblatt - defending | 25 | 10_antisemitism_aipac_ashkenazi_greenblatt |
| 11 | censorship - australians - musk - facebook - provocateurs | 23 | 11_censorship_australians_musk_facebook |
Training hyperparameters
- calculate_probabilities: True
- language: None
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 10
- verbose: False
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.26.4
- HDBSCAN: 0.8.40
- UMAP: 0.5.7
- Pandas: 2.2.3
- Scikit-Learn: 1.5.2
- Sentence-transformers: 3.3.1
- Transformers: 4.46.3
- Numba: 0.60.0
- Plotly: 5.24.1
- Python: 3.10.12
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